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Step into the minds of SAS leaders in this blog post. From tackling AI challenges to embracing cloud strategies, these eight impactful quotes will broaden your perspective. Learn from experts like Reggie Townsend on AI ethics, Jay Upchurch on cloud migration strategies and Bryan Harris on quantum computing's potential. Learn how SAS® Viya® Workbench revolutionizes development and how AI reshapes industries like finance. There’s much to read about as we unpack the future of technology and innovation.
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SAS’ Franklin Manchester breaks down how biased data hurts marginalized groups and why experts think discrimination could be AI’s next big issue. Manchester also explains the controversy around body mass index (BMI) in life insurance, and how synthetic data and other GenAI tools could make things fairer. Stop bias in its tracks – learn about the value of synthetic data for insurance.
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Read how TowneBank teamed up with SAS to navigate the complex banking scene. By using SAS’ cloud solutions, TowneBank seamlessly implemented regulations, enhanced data security and improved customer experiences. Dive into this success story and see how innovative data management and expert partnerships can drive financial resilience and regulatory compliance. Keep reading to learn how TowneBank stays ahead of the curve as the banking industry continues to evolve.
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Synthetic data generation is gaining traction across industries. Its low cost makes it attractive for organizations looking to predict future trends affordably. With GenAI a top priority for organizations in 2024, our partnership with Snowflake enhances this trend. See how we combine SAS Viya with Snowflake’s tools to improve data security, accelerate innovation and streamline the analytics life cycle for better decision making.
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Remember when the popular catchphrase, “We have an app for that,” was the new big thing? You might not if you’re as young as the NC State University students who recently created smartphone apps using SAS, but a new app for everything was quite the phenomenon back then. Of course, there’s pretty much an app for everything now, but maybe not so much regarding data- and AI-powered analytical apps. And that’s the gap these students were tasked with filling. Check out what they came up with.
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Melissa Sariffodeen believes learning often requires unlearning and values constructive critique. In this episode of the Pondering AI podcast, she uses examples like a child learning to code and a driver learning not to drive to highlight innovation barriers. With decades of experience teaching technical skills, Sariffodeen discusses AI's new challenges for upskilling and advocates for viewing AI as both tools and relationships. She believes that unlearning to unlock growth stresses the importance of diversity and critical thinking in organizational learning. While you’re listening, subscribe so you don’t miss an episode.
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